Jian-Xun Wang
University of Notre Dame
H-index: 23
North America-United States
Top articles of Jian-Xun Wang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics | Communications Physics | Xin-Yang Liu Min Zhu Lu Lu Hao Sun Jian-Xun Wang | 2024/1/13 |
CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence | arXiv preprint arXiv:2403.05940 | Pan Du Meet Hemant Parikh Xiantao Fan Xin-Yang Liu Jian-Xun Wang | 2024/3/9 |
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain | Computer Physics Communications | Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun | 2024/2/1 |
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control | arXiv preprint arXiv:2401.11349 | Xin-Yang Liu Dariush Bodaghi Qian Xue Xudong Zheng Jian-Xun Wang | 2024/1/21 |
Physics-integrated neural differentiable (PiNDiff) model for composites manufacturing | Computer Methods in Applied Mechanics and Engineering | Deepak Akhare Tengfei Luo Jian-Xun Wang | 2023/3/1 |
Effects of antagonistic muscle actuation on the bilaminar structure of ray-finned fish in propulsion | Journal of Fluid Mechanics | Dariush Bodaghi Jian-Xun Wang Qian Xue Xudong Zheng | 2023/11 |
Symbolic physics learner: Discovering governing equations via monte carlo tree search | The International Conference on Learning Representations (ICLR) 2022 | Fangzheng Sun Yang Liu Jian-Xun Wang Hao Sun | 2023 |
PhySR: Physics-informed deep super-resolution for spatiotemporal data | Journal of Computational Physics | Pu Ren Chengping Rao Yang Liu Zihan Ma Qi Wang | 2023/11/1 |
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling | arXiv preprint arXiv:2401.00161 | Deepak Akhare Tengfei Luo Jian-Xun Wang | 2023/12/30 |
Differentiable hybrid neural modeling for fluid-structure interaction | Journal of Computational Physics | Xiantao Fan Jian-Xun Wang | 2024/1/1 |
Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation | arXiv preprint arXiv:2311.07896 | Han Gao Xu Han Xiantao Fan Luning Sun Li-Ping Liu | 2023/11/14 |
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions | Neural Computing and Applications | Ehsan Adeli Luning Sun Jianxun Wang Alexandros A Taflanidis | 2023/9 |
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process | Jian-Xun Wang Deepak Akhare Zeping Chen Richard Gulotty Tengfei Luo | 2023/12/12 | |
Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks | Communications Biology | Mohammadreza Movahhedi Xin-Yang Liu Biao Geng Coen Elemans Qian Xue | 2023/5/18 |
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model | Luning Sun Xu Han Han Gao Jian-Xun Wang Liping Liu | 2023/11/2 | |
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty | Advances in Neural Information Processing Systems | Luning Sun* Daniel Zhengyu Huang* Hao Sun Jian-Xun Wang | 2022/12/6 |
PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs | Computer Methods in Applied Mechanics and Engineering | Pu Ren Chengping Rao Yang Liu Jian-Xun Wang Hao Sun | 2022/2/1 |
A deep learning-based generalized empirical flow model of glottal flow during normal phonation | Journal of Biomechanical Engineering | Yang Zhang Weili Jiang Luning Sun Jianxun Wang Xudong Zheng | 2022/9/1 |
Predicting Physics in Mesh-reduced Space with Temporal Attention | International Conference on Learning Representations (ICLR 2022) | Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Li-Ping Liu | 2022/1/22 |
Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics | Physics of Fluids | Pan Du Xiaozhi Zhu Jian-Xun Wang | 2022/8/1 |
